Instructions to use zeromodels/grounding_dino_tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ZeroModels
How to use zeromodels/grounding_dino_tiny with ZeroModels:
# pip install -U zeromodels # ZeroModels is pure Keras 3, so pick a backend: "jax", "torch" or "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" from zeromodels import AutoZModel # AutoZModel reads the repo's model_type and loads the matching class. # For a task head use the matching loader, e.g. AutoZMImageClassify / AutoZMDetect / # AutoZMSemanticSegment / AutoZMTextGenerate (see zeromodels.auto). model = AutoZModel.from_weights("zeromodels/grounding_dino_tiny") - Keras
How to use zeromodels/grounding_dino_tiny with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://zeromodels/grounding_dino_tiny") - Notebooks
- Google Colab
- Kaggle
File size: 479 Bytes
1b447be f2366c0 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | {
"library_name": "zeromodels",
"zeromodels_version": "1.1.3",
"preprocessor_module": "zeromodels.models.grounding_dino",
"preprocessor_class": "GroundingDinoImageProcessor",
"variant": "grounding_dino_tiny",
"shortest_edge": 800,
"longest_edge": 1333,
"image_mean": [
0.48500001430511475,
0.4560000002384186,
0.4059999883174896
],
"image_std": [
0.2290000021457672,
0.2240000069141388,
0.22499999403953552
],
"data_format": null
} |